Rocky Vista University College of Osteopathic Medicine, 255 E. Center St, Ivins, UT, 84738, USA.
Shenzhen DJI Sciences and Technologies Ltd, Shen Zhen, China.
BMC Med Educ. 2021 Jan 21;21(1):70. doi: 10.1186/s12909-021-02501-5.
The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible so that extra assistance can be provided to those students. Our goal is to produce a reliable predictive model to identify students who are at risk of scoring lower than 500 on COMLEX 1 at the earliest possible time.
Academic data from medical students who matriculated at Rocky Vista University College of Osteopathic Medicine between 2011 and 2017 were obtained. Odds ratios were used to assess the predictors for scoring lower than 500 on COMLEX 1. Correlation with COMLEX 1 scores was assessed with Pearson correlation coefficient. The predictive models were developed by multiple logistic regression, backward logistic regression, and logistic regression with average scores in courses in the first three semesters, and were based on performances on the Medical College Admissions Test (MCAT) before admission, as well as students' performances in preclinical courses during the first three semesters. The models were generated in about 82% of the student performance data and were then validated in the remaining 18% of the data.
Odds ratios showed that MCAT scores and final grades in each course in the first three semesters were significant in predicting a score lower than 500 on COMLEX 1. Performances in third-semester courses including Renal System II, Cardiovascular System II, and Respiratory System II were most important in prediction. The three predictive models had sensitivities of 65.8 -71%, and specificities of 83.2 - 88.2% in predicting a score lower than 500 on COMLEX 1.
Lower MCAT scores and lower grades in the first three semesters of medical school predict scoring lower than 500 on COMLEX 1. Students who are identified at risk by our models will have a 65.8 -71% chance of actually scoring lower than 500 on COMLEX 1. Those students will have enough time to receive assistance before taking COMLEX 1.
美国整骨医学执照考试一级(COMLEX 1)对于医学生毕业而言非常重要。尽早识别出有可能在 COMLEX 1 中表现不佳的学生,并为这些学生提供额外的帮助是当务之急。我们的目标是建立一个可靠的预测模型,以便尽早识别出有可能得分低于 500 的学生。
获取了 2011 年至 2017 年在落基山大学整骨医学学院入学的医学生的学业数据。使用比值比来评估 COMLEX 1 得分低于 500 的预测因素。采用 Pearson 相关系数评估与 COMLEX 1 得分的相关性。通过多元逻辑回归、向后逻辑回归和基于前三个学期课程平均成绩的逻辑回归来建立预测模型,并基于入学前的医学院入学考试(MCAT)成绩以及前三个学期的临床前课程表现。模型是在前 82%的学生成绩数据中生成的,然后在剩余的 18%的数据中进行验证。
比值比表明,MCAT 分数和前三个学期每门课程的最终成绩在预测 COMLEX 1 得分低于 500 方面具有显著意义。第三学期课程的表现,包括肾脏系统 II、心血管系统 II 和呼吸系统 II,在预测中最为重要。三个预测模型在预测 COMLEX 1 得分低于 500 方面的敏感性为 65.8%-71%,特异性为 83.2%-88.2%。
较低的 MCAT 分数和前三个学期的较低成绩预示着 COMLEX 1 得分低于 500。我们的模型识别出的风险学生实际得分低于 500 的可能性为 65.8%-71%。这些学生在参加 COMLEX 1 考试之前有足够的时间接受帮助。